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Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Builds and maintains a cloud-based data platform for quantum computing research, designing pipelines and infrastructure to integrate heterogeneous measurement data from R&D, manufacturing, and analytics teams.
Staff Data Engineer (AWS, Java & Real-Time Data) Lead the design and delivery of a new cloud-based credit risk data domain. Shape data models, streaming solutions and engineering standards from the ground up. Build…
Build and scale the data platform that ingests, processes, and serves telemetry and sensor data from a fleet of humanoid robots, using Spark, Kafka, OpenTelemetry, and cloud tools.
Builds and optimizes the core components of Daft, a distributed data engine for multimodal AI workloads, focusing on query planning, execution, distributed scheduling, and storage integrations (e.g., Parquet, Iceberg). Works with a small team to design and implement systems for high-performance data processing at scale.
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Build and own data pipelines and architecture for a climate-tech platform, writing production code in TypeScript/React while integrating diverse environmental datasets and APIs.
Build and maintain cloud-based data pipelines and APIs in Python and AWS, enabling reliable data access and integration for teams.
Build and maintain scalable storage infrastructure for an AI-driven cybersecurity platform, focusing on backup, observability, and agent-forward operations across Aurora, ClickHouse, and Kafka.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in…
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered) Start Day: ASAP Contract Rate: 460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking…
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Are you a highly skilled Senior Data Engineer ready to lead and innovate in a dynamic, cloud-driven environment? We’re looking for a pivotal team member to design, develop, and maintain cutting‑edge data solutions,…
Lead the design and development of ETL/ELT pipelines and data storage solutions on Azure for a Federal Government department, enabling analytics and decision-making with modern cloud technologies.
Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.
Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Lead the design and implementation of full-stack web apps for satellite mission tasking, geospatial data services, and AI-driven analytics using React, Node.js, FastAPI, and PostGIS.
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and transforming it into a lakehouse for analytics and ML workloads.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI data platform using Python, Java, SQL, and Apache Spark.
Build and maintain a modern Lakehouse and AI data platform, designing pipelines, datasets, and tooling to support analytics and AI use cases in a financial firm.
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